Transport features based on driving characteristics

ABSTRACT

An example operation includes one or more of determining, by a transport, a current use of the transport, determining, by the transport, a feature based on the current use, receiving, by the transport, data related to the feature, and enabling, by the transport, the feature based on the received data. The feature was not available for use by the transport.

BACKGROUND

Vehicles or transports, such as cars, motorcycles, trucks, planes,trains, etc., generally provide transportation needs to occupants and/orgoods in a variety of ways. Functions related to transports may beidentified and utilized by various computing devices, such as asmartphone or a computer.

SUMMARY

One example embodiment provides a method that includes one or more ofdetermining, by a transport, a current use of the transport,determining, by the transport, a feature based on the current se,receiving, by the transport, data related to the feature, and enabling,by the transport, the feature based on the received data. The featurewas not available for use by the transport.

Another example embodiment provides a transport, comprising a processor,and a memory, coupled to the processor, comprising instructions thatwhen executed by the processor are configured to perform transport thatincludes a processor and a memory, wherein the processor is configuredto perform one or more of determine a current use of the transport,determine a feature based on the current use, receive data related tothe feature, and enable the feature based on the received data. Thefeature was not available for use by the transport.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of determining, by a transport, acurrent use of the transport, determining, by the transport, a featurebased on the current use, receiving, by the transport, data related tothe feature, and enabling, by the transport, the feature based on thereceived data. The feature was not available for use by the transport.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a transport network diagram, according to exampleembodiments.

FIG. 2A illustrates a transport network diagram, according to exampleembodiments.

FIG. 2B illustrates another transport network diagram, according toexample embodiments.

FIG. 2C illustrates yet another transport network diagram, according toexample embodiments.

FIG. 3 illustrates a flow diagram, according to example embodiments.

FIG. 4 illustrates a machine learning transport network diagram,according to example embodiments.

FIG. 5A illustrates an example vehicle configuration for managingdatabase transactions associated with a vehicle, according to exampleembodiments.

FIG. 5B illustrates another example vehicle configuration for managingdatabase transactions conducted among various vehicles, according toexample embodiments.

FIG. 6A illustrates a blockchain architecture configuration, accordingto example embodiments.

FIG. 6B illustrates another blockchain configuration, according toexample embodiments.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments.

FIG. 6D illustrates example data blocks, according to exampleembodiments.

FIG. 7 illustrates an example system that supports one or more of theexample embodiments.

DETAILED DESCRIPTION

It will be readily understood that the instant components, as generallydescribed and illustrated in the figures herein, may be arranged anddesigned in a wide variety of different configurations. Thus, thefollowing detailed description of the embodiments of at least one of amethod, apparatus, non-transitory computer readable medium and system,as represented in the attached figures, is not intended to limit thescope of the application as claimed but is merely representative ofselected embodiments.

The instant features, structures, or characteristics as describedthroughout this specification may be combined in any suitable manner inone or more embodiments. For example, the usage of the phrases “exampleembodiments”, “some embodiments”, or other similar language, throughoutleast this specification refers to the fact that a particular feature,structure, or characteristic described in connection with the embodimentmay be included in at one embodiment. Thus, appearances of the phrases“example embodiments”, “in some embodiments”, “in other embodiments”, orother similar language, throughout this specification do not necessarilyall refer to the same group of embodiments, and the described features,structures, or characteristics may be combined in any suitable manner inone or more embodiments. In the diagrams, any connection betweenelements can permit one-way and/or two-way communication even if thedepicted connection is a one-way or two-way arrow. In the currentapplication, a transport may include one or more of cars, trucks,motorcycles, scooters, bicycles, boats, recreational vehicles, planes,and any object that may be used to transport people and or goods fromone location to another.

In addition, while the term “message” may have been used in thedescription of embodiments, the application may be applied to many typesof network data, such as, a packet, frame, datagram, etc. The term“message” also includes packet, frame, datagram, and any equivalentsthereof. Furthermore, while certain types of messages and signaling maybe depicted in exemplary embodiments they are not limited to a certaintype of message, and the application is not limited to a certain type ofsignaling.

Example embodiments provide methods, systems, components, non-transitorycomputer readable media, devices, and/or networks, which provide atleast one of: a transport (also referred to as a vehicle herein) a datacollection system, a data monitoring system, a verification system, anauthorization system and a vehicle data distribution system. The vehiclestatus condition data, received in the form of communication updatemessages, such as wireless data network communications and/or wiredcommunication messages, may be received and processed to identifyvehicle/transport status conditions and provide feedback as to thecondition changes of a transport. In one example, a user profile may beapplied to a particular transport/vehicle to authorize a current vehicleevent, service stops at service stations, and to authorize subsequentvehicle rental services.

Within the communication infrastructure, a decentralized database is adistributed storage system, which includes multiple nodes thatcommunicate with each other. A blockchain is an example of adecentralized database, which includes an append-only immutable datastructure (i.e. a distributed ledger) capable of maintaining recordsbetween untrusted parties. The untrusted parties are referred to hereinas peers, nodes or peer nodes. Each peer maintains a copy of thedatabase records and no single peer can modify the database recordswithout a consensus being reached among the distributed peers. Forexample, the peers may execute a consensus protocol to validateblockchain storage entries, group the storage entries into blocks, andbuild a hash chain via the blocks. This process forms the ledger byordering the storage entries, as is necessary, for consistency. In apublic or permissionless blockchain, anyone can participate without aspecific identity. Public blockchains can involve cryptocurrencies anduse consensus based on various protocols such as proof of work (PoW). Onthe other hand, a permissioned blockchain database provides a system,which can secure interactions among a group of entities which share acommon goal, but which do not or cannot fully trust one another, such asbusinesses that exchange funds, goods, information, and the like. Theinstant application can function in a permissioned and/or apermissionless blockchain setting.

Smart contracts are trusted distributed applications which leveragetamper-proof properties of the shared or distributed ledger (i.e., whichmay be in the form of a blockchain) database and an underlying agreementbetween member nodes which is referred to as an endorsement orendorsement policy. In general, blockchain entries are “endorsed” beforebeing committed to the blockchain while entries, which are not endorsedare disregarded. A typical endorsement policy allows smart contractexecutable code to specify endorsers for an entry in the form of a setof peer nodes that are necessary for endorsement. When a client sendsthe entry to the peers specified in the endorsement policy, the entry isexecuted to validate the entry. After validation, the entries enter anordering phase in which a consensus protocol is used to produce anordered sequence of endorsed entries grouped into blocks.

Nodes are the communication entities of the blockchain system. A “node”may perform a logical function in the sense that multiple nodes ofdifferent types can run on the same physical server. Nodes are groupedin trust domains and are associated with logical entities that controlthem in various ways. Nodes may include different types, such as aclient or submitting-client node which submits an entry-invocation to anendorser (e.g., peer), and broadcasts entry-proposals to an orderingservice (e.g., ordering node). Another type of node is a peer node whichcan receive client submitted entries, commit the entries and maintain astate and a copy of the ledger of blockchain entries. Peers can alsohave the role of an endorser, although it is not a requirement. Anordering-service-node or orderer is a node running the communicationservice for all nodes, and which implements a delivery guarantee, suchas a broadcast to each of the peer nodes in the system when committingentries and modifying a world state of the blockchain, which is anothername for the initial blockchain entry, which normally includes controland setup information.

A ledger is a sequenced, tamper-resistant record of all statetransitions of a blockchain. State transitions may result from smartcontract executable code invocations (i.e., entries) submitted byparticipating parties (e.g., client nodes, ordering nodes, endorsernodes, peer nodes, etc.). An entry may result in a set of assetkey-value pairs being committed to the ledger as one or more operands,such as creates, updates, deletes, and the like. The ledger includes ablockchain (also referred to as a chain), which is used to store animmutable, sequenced record in blocks. The ledger also includes a statedatabase, which maintains a current state of the blockchain. There istypically one ledger per channel. Each peer node maintains a copy of theledger for each channel of which they are a member.

A chain is an entry log, which is structured as hash-linked blocks, andeach block contains a sequence of N entries where N is equal to orgreater than one. The block header includes a hash of the block'sentries, as well as a hash of the prior block's header. In this way, allentries on the ledger may be sequenced and cryptographically linkedtogether. Accordingly, it is not possible to tamper with the ledger datawithout breaking the hash links. A hash of a most recently addedblockchain block represents every entry on the chain that has comebefore it, making it possible to ensure that all peer nodes are in aconsistent and trusted state. The chain may be stored on a peer nodefile system (i.e., local, attached storage, cloud, etc.), efficientlysupporting the append-only nature of the blockchain workload.

The current state of the immutable ledger represents the latest valuesfor all keys that are included in the chain entry log. Because thecurrent state represents the latest key values known to a channel, it issometimes referred to as a world state. Smart contract executable codeinvocations execute entries against the current state data of theledger. To make these smart contract executable code interactionsefficient, the latest values of the keys may be stored in a statedatabase. The state database may be simply an indexed view into thechain's entry log, it can therefore be regenerated from the chain at anytime. The state database may automatically be recovered (or generated ifneeded) upon peer node startup, and before entries are accepted.

A blockchain is different from a traditional database in that theblockchain is not a central storage but rather a decentralized,immutable, and secure storage, where nodes must share in changes torecords in the storage. Some properties that are inherent in blockchainand which help implement the blockchain include, but are not limited to,an immutable ledger, smart contracts, security, privacy,decentralization, consensus, endorsement, accessibility, and the like.

Transports are typically sold with a number of features that aremanually selectable by a driver or occupant, based on personalpreferences or local conditions. The driver or occupant may alsosubscribe or request a subscription to additional cost features. In onecase, a need for such features is first recognized by the driver oroccupant and manually enabled by the driver or occupant. In anothercase, the feature provider may contact all new owners automatically witha new subscription offer. This may be presented through a text message,an email, or other means. As such, what is needed is a solution toovercome these problems and limitations.

Example embodiments provide a way for providing a vehicle service to aparticular vehicle and/or requesting user associated with a user profilethat is applied to the vehicle. For example, a user may be the owner ofa vehicle or the operator of a vehicle owned by another party. Thevehicle may require service at certain intervals and the service needsmay require authorization prior to permitting the services to bereceived. Also, service centers may offer services to vehicles in anearby area based on the vehicle's current route plan and a relativelevel of service requirements (e.g., immediate, severe, intermediate,minor, etc.). The vehicle needs may be monitored via one or moresensors, which report sensed data to a central controller computerdevice in the vehicle, which in turn, is forwarded to a managementserver for review and action.

A sensor may be located on one or more of the interior of the transport,the exterior of the transport, on a fixed object apart from thetransport, and on another transport near to the transport. The sensormay also be associated with the transport's speed, the transport'sbraking, the transport's acceleration, fuel levels, service needs, thegear-shifting of the transport, the transport's steering, and the like.The notion of a sensor may also be a device, such as a mobile device.Also, sensor information may be used to identify whether the vehicle isoperating safely and whether the occupant user has engaged in anyunexpected vehicle conditions, such as during the vehicle access period.Vehicle information collected before, during and/or after a vehicle'soperation may be identified and stored in a transaction on ashared/distributed ledger, which may be generated and committed to theimmutable ledger as determined by a permission granting consortium, andthus in a “decentralized” manner, such as via a blockchain membershipgroup.

Each interested party (i.e., company, agency, etc.) may want to limitthe exposure of private information, and therefore the blockchain andits immutability can limit the exposure and manage permissions for eachparticular user vehicle profile. A smart contract may be used to providecompensation, quantify a user profile score/rating/review, apply vehicleevent permissions, determine when service is needed, identify acollision and/or degradation event, identify a safety concern event,identify parties to the event and provide distribution to registeredentities seeking access to such vehicle event data. Also, the resultsmay be identified, and the necessary information can be shared among theregistered companies and/or individuals based on a “consensus” approachassociated with the blockchain. Such an approach could not beimplemented on a traditional centralized database.

Every autonomous driving system is built on a whole suite of softwareand an array of sensors. Machine learning, lidar projectors, radar, andultrasonic sensors all work together to create a living map of the worldthat a self-driving car can navigate. Most companies in the race to fullautonomy are relying on the same basic technological foundations oflidar+radar+cameras+ultrasonic, with a few notable exceptions.

In another embodiment, GPS, maps and other cameras and sensors are usedin autonomous vehicles without lidar as lidar is often viewed as beingexpensive and unnecessary. Researchers have determined that stereocameras are a low-cost alternative to the more expensive lidarfunctionality.

The instant application includes, in certain embodiments, authorizing avehicle for service via an automated and quick authentication scheme.For example, driving up to a charging station or fuel pump may beperformed by a vehicle operator, and the authorization to receive chargeor fuel may be performed without any delays provided the authorizationis received by the service station. A vehicle may provide acommunication signal that provides an identification of a vehicle thathas a currently active profile linked to an account that is authorizedto accept a service which can be later rectified by compensation.Additional measures may be used to provide further authentication, suchas another identifier may be sent from the user's device wirelessly tothe service center to replace or supplement the first authorizationeffort between the transport and the service center with an additionalauthorization effort.

Data shared and received may be stored in a database, which maintainsdata in one single database (e.g., database server) and generally at oneparticular location. This location is often a central computer, forexample, a desktop central processing unit (CPU), a server CPU, or amainframe computer. Information stored on a centralized database istypically accessible from multiple different points. A centralizeddatabase is easy to manage, maintain, and control, especially forpurposes of security because of its single location. Within acentralized database, data redundancy is minimized as a single storingplace of all data also implies that a given set of data only has oneprimary record.

FIG. 1 illustrates a transport network diagram 100, according to exampleembodiments. As produced, a transport or vehicle 104 may include manyfeatures that are utilized some of the time, rarely, or never. Thesefeatures are typically selected and enabled by a transport occupant, ondemand. In some cases, some features may be paid for and/or subscribedto on a one-time use, occasional use, time period use, or other basis. Atransport 104 driver or occupant may select these features as needed andthought of, or may be presented to the driver or occupant through othermeans.

In one embodiment, a system may determine, based on a transport 104occupant's driving characteristics, the features that are available on atransport 104 but are not enabled. The system may include just thetransport 104, a server 112, or a combination of the transport 104 andthe server 112, and may determine the features the occupant(s) wouldfind interesting based on historical data. A particular feature could beoffered on a per-user basis (i.e. during a trip or timeframe), for aperiod of time (i.e. for a month as a trial period), on an annualsubscription basis, or a one-time payment basis. If driving shortdistances every day, a driver and/or occupant in an autonomous transportmay not be interested in a feature such as an autopilot (for example).If always parking in a residential garage or on a street, a driver mostprobably may not be interested in an auto-parking feature because theyare already accustomed to parking the vehicle.

In another embodiment, the system may determine one or more features,based on the transport's 104 driving characteristics, and promotesfeatures not yet enabled on the transport 104 to the driver and/oroccupant(s). The features may be further customized based on historicaland/or real-time characteristics of the driver and/or occupant(s), maybe associated with a performance mode of the transport 104, and may bebased on a geolocation of the transport 104 (such as self-parking atwork but not at home, etc.).

In another embodiment, the system may provide consumption-based usagefeatures, such as when the transport 104 is stuck in traffic. Othertransports 108, including transport 108A and other transport 108B (suchas a pickup truck towing a trailer) may be present in proximity to thetransport 104 and contribute to the traffic congestion. For example, ifthe transport 104 is stuck in traffic, the driver may pay a premiumprice for a self-driving feature, although the driver may not be anormal subscriber of the function. That is, a self-driving feature maybe a consumption-based usage feature and the cost may vary according tolocal conditions such as traffic congestion. In one embodiment, anothertransport 108A may provide data 124A directly to the transport orvehicle 104. For example, the other transport 108A may potentially beahead of the transport or vehicle 104 and, for example, in night timeconditions may detect an object or debris in a roadway. The othertransport 108A may transmit data to the transport 104 notifying it ofthe location of the debris and possibly directions on how to avoid theobject, such as “move 2 feet to the right”. In another embodiment,another transport 108B may provide data 124B to a server 112 instead ofproviding it directly to the transport 104. The server 112 may includethe data 124B in the data related to the feature 120 that it transmitsto the transport 104. In another embodiment, the transport may request afeature 116 from the server 112.

In one embodiment, the transport 104 may determine a current use of thetransport 104. Determining a current use of the transport 104 mayinclude determining one of a driver operating the transport 104 and thetransport 104 being autonomously operated, determining a currentlocation of the transport 104, determining a current condition inproximity to the transport 104, and determining current feature useaccording to the one of the driver operating the transport 104 and thetransport 104 being autonomously operated, the location of the transport104, and the current condition.

The current condition may include any of a weather condition, a roadcondition, a condition of the transport 104, traffic conditions, acondition of the transport's driver, or a lighting condition. Weatherconditions may include visibility-related conditions such as dust, fog,rain, or snow, or control conditions such as high winds, crosswinds,rain, or snow. A road condition may include debris or an obstruction ona roadway, bumps, a pothole, a missing manhole cover, or presence of achemical, oil, or ice on a roadway. A condition of the transport 104 mayinclude examples such as weak brakes, worn tires, engine problems, acracked windshield, or transmission problems, speed or accelerationlimitations, and handling problems. Traffic conditions may includestopped traffic, slow traffic, road construction, eliminated lanes oronramps/offramps, presence of emergency vehicles, other transport 108accidents, or a road rage incident. A condition of a transport's drivermay include detected drowsiness, falling asleep, inattentive driving, oran inability to safely control a transport 104—such as staying in alane, braking safely, or swerving repeatedly. A lighting condition mayinclude day or night driving, or forward traffic obscured by the sun.

In another embodiment, the transport 104 may determine the feature basedon the current use may include a capability of the transport 104 toperform the feature utilizing equipment not intended for performing thefeature. For example, some other transports 108 may include variousaccident avoidance features that are able to safely steer around roadwaydebris and obstructions. However, the transport 104 may not include suchfeatures itself. Therefore, f the transport 104 receives such featuredata notifying it of an obstruction or the presence of upcoming debris,the transport 104 may alert the driver with an interrupted audio message(interrupting what existing audio may be present) or display a warningand possibly avoidance directions on a head-up display, other transport104 display, or smartphone display of an occupant.

In another embodiment, enabling the feature based on the received datamay be based on converting the received data into a format capable to beprocessed and output by equipment in the transport 104. For example, thereceived data may be normally intended to be displayed to a driver on ahead-up display in a line of sight of the windshield of the transport104. However, the transport 104 may not be equipped with a head-updisplay at all, and may have a conventional display located at thecenter of a console, for example. Because such a display may not besafely viewed while the transport 104 is in motion, the transport 104may, for example, convert the received data into an audio messagepresented to the driver or occupants of the transport 104.

In another embodiment, enabling the feature based on the received datamay include current activities of a driver and presenting the feature ina manner complementary to the current activities. For example, if atransport 104 is currently stopped, a driver may be safely lookingthrough navigation, environmental, or entertainment settings on a maintransport 104 display. Therefore, a complementary manner may includeproviding a notification on the main transport 104 display that thedriver can access. If a transport 104 is currently moving, a driver maynot be able to safely view a main transport 104 display, and acomplementary manner may include providing the data as an audionotification instead.

In another embodiment, the transport 104 receiving data related to thefeature may include the transport 104 transmitting a request to a server112 to provide the feature and receiving the data from the server 112,where the data is based on the feature. In one embodiment, the data maybe based on historical factors of the transport 104 or the driver. Forexample, if the driver has a history of speeding violations, especiallyin recent years, a performance upgrade may either be excluded from thefeature or limited in some way. In another embodiment, in response toreceiving the request, the server may transmit one or more offers topurchase the feature to the transport 104 or a device of a transport 104occupant. If the offers may not be worthwhile for some reason, thetransport 104 may transmit a request for a different offer (one-time useat a lower cost, for example) to the server 112. In response, the server112 may then provide data that includes a one-time use of the feature.

Finally, in yet another embodiment enabling the feature based on thereceived data may include selecting one of a plurality of terms to usethe feature in the data, receiving an indication the feature is enabled,and presenting the indication to one or more occupants of the transport104. The terms may include various forms of payment for an additionalcost feature, and may be presented as an indefinite use of the feature,a time period for unlimited use, a number of times the feature may beused, or a single use. The indication may be presented as an audiomessage, an SMS message, an email, or a notification to a transport 104or device display.

FIG. 2A illustrates a transport network diagram 200, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. Although depicted as single transportnodes and processors, a plurality of transport nodes and processors maybe present. One or more of the applications, features, steps, solutions,etc., described and/or depicted herein may be utilized and/or providedby the instant elements.

FIG. 2B illustrates another transport network diagram 210, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. The processors 204, 204′ can furthercommunicate with one or more elements 230 including sensor 212, wireddevice 214, wireless device 216, database 218, mobile phone 220,transport node 222, computer 224, I/O device 226 and voice application228. The processors 204, 204′ can further communicate with elementscomprising one or more of a processor, memory, and software.

Although depicted as single transport nodes, processors and elements, aplurality of transport nodes, processors and elements may be present.Information or communication can occur to and/or from any of theprocessors 204, 204′ and elements 230. For example, the mobile phone 220may provide information to the processor 204, which may initiate thetransport node 202 to take an action, may further provide theinformation or additional information to the processor 204′ which mayinitiate the transport node 202′ to take an action, may further providethe information or additional information to the mobile phone 220, thetransport node 222, and/or the computer 224. One or more of theapplications, features, steps, solutions, etc., described and/ordepicted herein may be utilized and/or provided by the instant elements.

FIG. 2C illustrates yet another transport network diagram 240, accordingto example embodiments. The network comprises elements including atransport node 202 including a processor 204 and a non-transitorycomputer readable medium 242C. The processor 204 is communicably coupledto the computer readable medium 242C and elements 230 (which weredepicted in FIG. 2B).

The processor 204 performs one or more of the transport determining, bya transport 104, a current use of the transport 244C, determining, bythe transport 104, a feature based on the current use 246C, where thefeature was not available for use by the transport 104, receiving, bythe transport 104, data related to the feature 248C, and enabling, bythe transport, the feature based on the received data 250C.

The processors and/or computer readable media may fully or partiallyreside in the interior or exterior of the transport nodes. The steps orfeatures stored in the computer readable media may be fully or partiallyperformed by any of the processors and/or elements in any order.Additionally, one or more steps or features may be added, omitted,combined, performed at a later time, etc.

FIG. 3 illustrates a flow diagram 300, according to example embodiments.Referring to FIG. 3 , at block 302, the transport 104 determines acurrent use of the transport 104. At step 304, the transport determinesa feature based on the current use. At block 306, the transport 104receives data related to the feature. Finally, at block 308, thetransport enables the feature based on the received data.

FIG. 4 illustrates a machine learning transport network diagram 400,according to example embodiments. The network 400 includes a transportnode 402 that interfaces with a machine learning subsystem 406. Thetransport node includes one or more sensors 404.

The machine learning subsystem 406 contains a learning model 408 whichis a mathematical artifact created by a machine learning training system410 that generates predictions by finding patterns in one or moretraining data sets. In some embodiments, the machine learning subsystem406 resides in the transport node 402. In other embodiments, the machinelearning subsystem 406 resides outside of the transport node 402.

The transport node 402 sends data from the one or more sensors 404 tothe machine learning subsystem 406. The machine learning subsystem 406provides the one or more sensor 404 data to the learning model 408,which returns one or more predictions. The machine learning subsystem406 sends one or more instructions to the transport node 402 based onthe predictions from the learning model 408.

In a further embodiment, the transport node 402 may send the one or moresensor 404 data to the machine learning training system 410. In yetanother embodiment, the machine learning subsystem 406 may sent thesensor 404 data to the machine learning subsystem 410. One or more ofthe applications, features, steps, solutions, etc., described and/ordepicted herein may utilize the machine learning network 400 asdescribed herein.

FIG. 5A illustrates an example vehicle configuration 500 for managingdatabase transactions associated with a vehicle, according to exampleembodiments. Referring to FIG. 5A, as a particular transport/vehicle 525is engaged in transactions (e.g., vehicle service, dealer transactions,delivery/pickup, transportation services, etc.), the vehicle may receiveassets 510 and/or expel/transfer assets 512 according to atransaction(s). A transport processor 526 resides in the vehicle 525 andcommunication exists between the transport processor 526, a database530, a transport processor 526 and the transaction module 520. Thetransaction module 520 may record information, such as assets, parties,credits, service descriptions, date, time, location, results,notifications, unexpected events, etc. Those transactions in thetransaction module 520 may be replicated into a database 530. Thedatabase 530 can be one of a SQL database, an RDBMS, a relationaldatabase, a non-relational database, a blockchain, a distributed ledger,and may be on board the transport, may be off board the transport, maybe accessible directly and/or through a network, or be accessible to thetransport.

FIG. 5B illustrates an example vehicle configuration 550 for managingdatabase transactions conducted among various vehicles, according toexample embodiments. The vehicle 525 may engage with another vehicle 508to perform various actions such as to share, transfer, acquire servicecalls, etc. when the vehicle has reached a status where the servicesneed to be shared with another vehicle. For example, the vehicle 508 maybe due for a battery charge and/or may have an issue with a tire and maybe in route to pick up a package for delivery. A transport processor 528resides in the vehicle 508 and communication exists between thetransport processor 528, a database 554, a transport processor 528 andthe transaction module 552. The vehicle 508 may notify another vehicle525 which is in its network and which operates on its blockchain memberservice. A transport processor 526 resides in the vehicle 525 andcommunication exists between the transport processor 526, a database530, the transport processor 526 and a transaction module 520. Thevehicle 525 may then receive the information via a wirelesscommunication request to perform the package pickup from the vehicle 508and/or from a server (not shown). The transactions are logged in thetransaction modules 552 and 520 of both vehicles. The credits aretransferred from vehicle 508 to vehicle 525 and the record of thetransferred service is logged in the database 530/554 assuming that theblockchains are different from one another, or, are logged in the sameblockchain used by all members. The database 554 can be one of a SQLdatabase, an RDBMS, a relational database, a non-relational database, ablockchain, a distributed ledger, and may be on board the transport, maybe off board the transport, may be accessible directly and/or through anetwork.

FIG. 6A illustrates a blockchain architecture configuration 600,according to example embodiments. Referring to FIG. 6A, the blockchainarchitecture 600 may include certain blockchain elements, for example, agroup of blockchain member nodes 602-606 as part of a blockchain group610. In one example embodiment, a permissioned blockchain is notaccessible to all parties but only to those members with permissionedaccess to the blockchain data. The blockchain nodes participate in anumber of activities, such as blockchain entry addition and validationprocess (consensus). One or more of the blockchain nodes may endorseentries based on an endorsement policy and may provide an orderingservice for all blockchain nodes. A blockchain node may initiate ablockchain action (such as an authentication) and seek to write to ablockchain immutable ledger stored in the blockchain, a copy of whichmay also be stored on the underpinning physical infrastructure.

The blockchain transactions 620 are stored in memory of computers as thetransactions are received and approved by the consensus model dictatedby the members' nodes. Approved transactions 626 are stored in currentblocks of the blockchain and committed to the blockchain via a committalprocedure which includes performing a hash of the data contents of thetransactions in a current block and referencing a previous hash of aprevious block. Within the blockchain, one or more smart contracts 630may exist that define the terms of transaction agreements and actionsincluded in smart contract executable application code 632, such asregistered recipients, vehicle features, requirements, permissions,sensor thresholds, etc. The code may be configured to identify whetherrequesting entities are registered to receive vehicle services, whatservice features they are entitled/required to receive given theirprofile statuses and whether to monitor their actions in subsequentevents. For example, when a service event occurs and a user is riding inthe vehicle, the sensor data monitoring may be triggered and a certainparameter, such as a vehicle charge level, may be identified as beingabove/below a particular threshold for a particular period of time, thenthe result may be a change to a current status which requires an alertto be sent to the managing party (i.e., vehicle owner, vehicle operator,server, etc.) so the service can be identified and stored for reference.The vehicle sensor data collected may be based on types of sensor dataused to collect information about vehicle's status. The sensor data mayalso be the basis for the vehicle event data 634, such as a location(s)to be traveled, an average speed, a top speed, acceleration rates,whether there were any collisions, was the expected route taken, what isthe next destination, whether safety measures are in place, whether thevehicle has enough charge/fuel, etc. All such information may be thebasis of smart contract terms 630, which are then stored in ablockchain. For example, sensor thresholds stored in the smart contractcan be used as the basis for whether a detected service is necessary andwhen and where the service should be performed.

FIG. 6B illustrates a shared ledger configuration, according to exampleembodiments. Referring to FIG. 6B, the blockchain logic example 640includes a blockchain application interface 642 as an API or plug-inapplication that links to the computing device and execution platformfor a particular transaction. The blockchain configuration 640 mayinclude one or more applications which are linked to applicationprogramming interfaces (APIs) to access and execute storedprogram/application code (e.g., smart contract executable code, smartcontracts, etc.) which can be created according to a customizedconfiguration sought by participants and can maintain their own state,control their own assets, and receive external information. This can bedeployed as an entry and installed, via appending to the distributedledger, on all blockchain nodes.

The smart contract application code 644 provides a basis for theblockchain transactions by establishing application code which whenexecuted causes the transaction terms and conditions to become active.The smart contract 630, when executed, causes certain approvedtransactions 626 to be generated, which are then forwarded to theblockchain platform 652. The platform includes a security/authorization658, computing devices which execute the transaction management 656 anda storage portion 654 as a memory that stores transactions and smartcontracts in the blockchain.

The blockchain platform may include various layers of blockchain data,services (e.g., cryptographic trust services, virtual executionenvironment, etc.), and underpinning physical computer infrastructurethat may be used to receive and store new entries and provide access toauditors which are seeking to access data entries. The blockchain mayexpose an interface that provides access to the virtual executionenvironment necessary to process the program code and engage thephysical infrastructure. Cryptographic trust services may be used toverify entries such as asset exchange entries and keep informationprivate.

The blockchain architecture configuration of FIGS. 6A and 6B may processand execute program/application code via one or more interfaces exposed,and services provided, by the blockchain platform. As a non-limitingexample, smart contracts may be created to execute reminders, updates,and/or other notifications subject to the changes, updates, etc. Thesmart contracts can themselves be used to identify rules associated withauthorization and access requirements and usage of the ledger. Forexample, the information may include a new entry, which may be processedby one or more processing entities (e.g., processors, virtual machines,etc.) included in the blockchain layer. The result may include adecision to reject or approve the new entry based on the criteriadefined in the smart contract and/or a consensus of the peers. Thephysical infrastructure may be utilized to retrieve any of the data orinformation described herein.

Within smart contract executable code, a smart contract may be createdvia a high-level application and programming language, and then writtento a block in the blockchain. The smart contract may include executablecode which is registered, stored, and/or replicated with a blockchain(e.g., distributed network of blockchain peers). An entry is anexecution of the smart contract code, which can be performed in responseto conditions associated with the smart contract being satisfied. Theexecuting of the smart contract may trigger a trusted modification(s) toa state of a digital blockchain ledger. The modification(s) to theblockchain ledger caused by the smart contract execution may beautomatically replicated throughout the distributed network ofblockchain peers through one or more consensus protocols.

The smart contract may write data to the blockchain in the format ofkey-value pairs. Furthermore, the smart contract code can read thevalues stored in a blockchain and use them in application operations.The smart contract code can write the output of various logic operationsinto the blockchain. The code may be used to create a temporary datastructure in a virtual machine or other computing platform. Data writtento the blockchain can be public and/or can be encrypted and maintainedas private. The temporary data that is used/generated by the smartcontract is held in memory by the supplied execution environment, thendeleted once the data needed for the blockchain is identified.

A smart contract executable code may include the code interpretation ofa smart contract, with additional features. As described herein, thesmart contract executable code may be program code deployed on acomputing network, where it is executed and validated by chainvalidators together during a consensus process. The smart contractexecutable code receives a hash and retrieves from the blockchain a hashassociated with the data template created by use of a previously storedfeature extractor. If the hashes of the hash identifier and the hashcreated from the stored identifier template data match, then the smartcontract executable code sends an authorization key to the requestedservice. The smart contract executable code may write to the blockchaindata associated with the cryptographic details.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments. Referring to FIG.6C, the example configuration 660 provides for the vehicle 662, the userdevice 664 and a server 666 sharing information with a distributedledger (i.e., blockchain) 668. The server may represent a serviceprovider entity inquiring with a vehicle service provider to share userprofile rating information in the event that a known and establisheduser profile is attempting to rent a vehicle with an established ratedprofile. The server 666 may be receiving and processing data related toa vehicle's service requirements. As the service events occur, such asthe vehicle sensor data indicates a need for fuel/charge, a maintenanceservice, etc., a smart contract may be used to invoke rules, thresholds,sensor information gathering, etc., which may be used to invoke thevehicle service event. The blockchain transaction data 670 is saved foreach transaction, such as the access event, the subsequent updates to avehicle's service status, event updates, etc. The transactions mayinclude the parties, the requirements (e.g., 18 years of age, serviceeligible candidate, valid driver's license, etc.), compensation levels,the distance traveled during the event, the registered recipientspermitted to access the event and host a vehicle service,rights/permissions, sensor data retrieved during the vehicle eventoperation to log details of the next service event and identify avehicle's condition status, and thresholds used to make determinationsabout whether the service event was completed and whether the vehicle'scondition status has changed.

FIG. 6D illustrates blockchain blocks 680 that can be added to adistributed ledger, according to example embodiments, and contents ofblock structures 682A to 682 n. Referring to FIG. 6D, clients (notshown) may submit entries to blockchain nodes to enact activity on theblockchain. As an example, clients may be applications that act onbehalf of a requester, such as a device, person or entity to proposeentries for the blockchain. The plurality of blockchain peers (e.g.,blockchain nodes) may maintain a state of the blockchain network and acopy of the distributed ledger. Different types of blockchainnodes/peers may be present in the blockchain network including endorsingpeers, which simulate and endorse entries proposed by clients andcommitting peers which verify endorsements, validate entries, and commitentries to the distributed ledger. In this example, the blockchain nodesmay perform the role of endorser node, committer node, or both.

The instant system includes a blockchain which stores immutable,sequenced records in blocks, and a state database (current world state)maintaining a current state of the blockchain. One distributed ledgermay exist per channel and each peer maintains its own copy of thedistributed ledger for each channel of which they are a member. Theinstant blockchain is an entry log, structured as hash-linked blockswhere each block contains a sequence of N entries. Blocks may includevarious components such as those shown in FIG. 6D. The linking of theblocks may be generated by adding a hash of a prior block's headerwithin a block header of a current block. In this way, all entries onthe blockchain are sequenced and cryptographically linked togetherpreventing tampering with blockchain data without breaking the hashlinks. Furthermore, because of the links, the latest block in theblockchain represents every entry that has come before it. The instantblockchain may be stored on a peer file system (local or attachedstorage), which supports an append-only blockchain workload.

The current state of the blockchain and the distributed ledger may bestored in the state database. Here, the current state data representsthe latest values for all keys ever included in the chain entry log ofthe blockchain. Smart contract executable code invocations executeentries against the current state in the state database. To make thesesmart contract executable code interactions extremely efficient, thelatest values of all keys are stored in the state database. The statedatabase may include an indexed view into the entry log of theblockchain, it can therefore be regenerated from the chain at any time.The state database may automatically get recovered (or generated ifneeded) upon peer startup, before entries are accepted.

Endorsing nodes receive entries from clients and endorse the entry basedon simulated results. Endorsing nodes hold smart contracts, whichsimulate the entry proposals. When an endorsing node endorses an entry,the endorsing nodes create an entry endorsement which is a signedresponse from the endorsing node to the client application indicatingthe endorsement of the simulated entry. The method of endorsing an entrydepends on an endorsement policy, which may be specified within smartcontract executable code. An example of an endorsement policy is “themajority of endorsing peers must endorse the entry.” Different channelsmay have different endorsement policies. Endorsed entries are forward bythe client application to an ordering service.

The ordering service accepts endorsed entries, orders them into a block,and delivers the blocks to the committing peers. For example, theordering service may initiate a new block when a threshold of entrieshas been reached, a timer times out, or another condition. In thisexample, blockchain node is a committing peer that has received a datablock 682A for storage on the blockchain. The ordering service may bemade up of a cluster of orderers. The ordering service does not processentries, smart contracts, or maintain the shared ledger. Rather, theordering service may accept the endorsed entries and specifies the orderin which those entries are committed to the distributed ledger. Thearchitecture of the blockchain network may be designed such that thespecific implementation of ‘ordering’ (e.g., Solo, Kafka, BFT, etc.)becomes a pluggable component.

Entries are written to the distributed ledger in a consistent order. Theorder of entries is established to ensure that the updates to the statedatabase are valid when they are committed to the network. Unlike acryptocurrency blockchain system (e.g., Bitcoin, etc.) where orderingoccurs through the solving of a cryptographic puzzle, or mining, in thisexample the parties of the distributed ledger may choose the orderingmechanism that best suits that network.

Referring to FIG. 6D, a block 682A (also referred to as a data block)that is stored on the blockchain and/or the distributed ledger mayinclude multiple data segments such as a block header 684A to 684 n,transaction specific data 686A to 686 n, and block metadata 688A to 688n. It should be appreciated that the various depicted blocks and theircontents, such as block 682A and its contents are merely for purposes ofan example and are not meant to limit the scope of the exampleembodiments. In some cases, both the block header 684A and the blockmetadata 688A may be smaller than the transaction specific data 686Awhich stores entry data; however, this is not a requirement. The block682A may store transactional information of N entries (e.g., 100, 500,1000, 2000, 3000, etc.) within the block data 690A to 690 n. The block682A may also include a link to a previous block (e.g., on theblockchain) within the block header 684A. In particular, the blockheader 684A may include a hash of a previous block's header. The blockheader 684A may also include a unique block number, a hash of the blockdata 690A of the current block 682A, and the like. The block number ofthe block 682A may be unique and assigned in an incremental/sequentialorder starting from zero. The first block in the blockchain may bereferred to as a genesis block, which includes information about theblockchain, its members, the data stored therein, etc.

The block data 690A may store entry information of each entry that isrecorded within the block. For example, the entry data may include oneor more of a type of the entry, a version, a timestamp, a channel ID ofthe distributed ledger, an entry ID, an epoch, a payload visibility, asmart contract executable code path (deploy tx), a smart contractexecutable code name, a smart contract executable code version, input(smart contract executable code and functions), a client (creator)identify such as a public key and certificate, a signature of theclient, identities of endorsers, endorser signatures, a proposal hash,smart contract executable code events, response status, namespace, aread set (list of key and version read by the entry, etc.), a write set(list of key and value, etc.), a start key, an end key, a list of keys,a Merkel tree query summary, and the like. The entry data may be storedfor each of the N entries.

In some embodiments, the block data 690A may also store transactionspecific data 686A which adds additional information to the hash-linkedchain of blocks in the blockchain. Accordingly, the data 686A can bestored in an immutable log of blocks on the distributed ledger. Some ofthe benefits of storing such data 686A are reflected in the variousembodiments disclosed and depicted herein. The block metadata 688A maystore multiple fields of metadata (e.g., as a byte array, etc.).Metadata fields may include signature on block creation, a reference toa last configuration block, an entry filter identifying valid andinvalid entries within the block, last offset persisted of an orderingservice that ordered the block, and the like. The signature, the lastconfiguration block, and the orderer metadata may be added by theordering service. Meanwhile, a committer of the block (such as ablockchain node) may add validity/invalidity information based on anendorsement policy, verification of read/write sets, and the like. Theentry filter may include a byte array of a size equal to the number ofentries in the block data 690A and a validation code identifying whetheran entry was valid/invalid.

The other blocks 682B to 682 n in the blockchain also have headers,files, and values. However, unlike the first block 682A, each of theheaders 684A to 684 n in the other blocks includes the hash value of animmediately preceding block. The hash value of the immediately precedingblock may be just the hash of the header of the previous block or may bethe hash value of the entire previous block. By including the hash valueof a preceding block in each of the remaining blocks, a trace can beperformed from the Nth block back to the genesis block (and theassociated original file) on a block-by-block basis, as indicated byarrows 692, to establish an auditable and immutable chain-of-custody.

The above embodiments may be implemented in hardware, in a computerprogram executed by a processor, in firmware, or in a combination of theabove. A computer program may be embodied on a computer readable medium,such as a storage medium. For example, a computer program may reside inrandom access memory (“RAM”), flash memory, read-only memory (“ROM”),erasable programmable read-only memory (“EPROM”), electrically erasableprogrammable read-only memory (“EEPROM”), registers, hard disk, aremovable disk, a compact disk read-only memory (“CD-ROM”), or any otherform of storage medium known in the art.

An exemplary storage medium may be coupled to the processor such thatthe processor may read information from, and write information to, thestorage medium. In the alternative, the storage medium may be integralto the processor. The processor and the storage medium may reside in anapplication specific integrated circuit (“ASIC”). In the alternative,the processor and the storage medium may reside as discrete components.For example, FIG. 7 illustrates an example computer system architecture700, which may represent or be integrated in any of the above-describedcomponents, etc.

FIG. 7 is not intended to suggest any limitation as to the scope of useor functionality of embodiments of the application described herein.Regardless, the computing node 700 is capable of being implementedand/or performing any of the functionality set forth hereinabove.

In computing node 700 there is a computer system/server 702, which isoperational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 702 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 702 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 702 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 7 , computer system/server 702 in cloud computing node700 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 702 may include, but are notlimited to, one or more processors or processing units 704, a systemmemory 706, and a bus that couples various system components includingsystem memory 706 to processor 704.

The bus represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 702 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 702, and it includes both volatileand non-volatile media, removable and non-removable media. System memory706, in one embodiment, implements the flow diagrams of the otherfigures. The system memory 706 can include computer system readablemedia in the form of volatile memory, such as random-access memory (RAM)708 and/or cache memory 710. Computer system/server 702 may furtherinclude other removable/non-removable, volatile/non-volatile computersystem storage media. By way of example only, memory 706 can be providedfor reading from and writing to a non-removable, non-volatile magneticmedia (not shown and typically called a “hard drive”). Although notshown, a magnetic disk drive for reading from and writing to aremovable, non-volatile magnetic disk (e.g., a “floppy disk”), and anoptical disk drive for reading from or writing to a removable,non-volatile optical disk such as a CD-ROM, DVD-ROM or other opticalmedia can be provided. In such instances, each can be connected to thebus by one or more data media interfaces. As will be further depictedand described below, memory 706 may include at least one program producthaving a set (e.g., at least one) of program modules that are configuredto carry out the functions of various embodiments of the application.

Program/utility, having a set (at least one) of program modules, may bestored in memory 706 by way of example, and not limitation, as well asan operating system, one or more application programs, other programmodules, and program data. Each of the operating system, one or moreapplication programs, other program modules, and program data or somecombination thereof, may include an implementation of a networkingenvironment. Program modules generally carry out the functions and/ormethodologies of various embodiments of the application as describedherein.

As will be appreciated by one skilled in the art, aspects of the presentapplication may be embodied as a system, method, or computer programproduct. Accordingly, aspects of the present application may take theform of an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present application may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Computer system/server 702 may also communicate with one or moreexternal devices via an I/O device 712 (such as an I/O adapter), whichmay include a keyboard, a pointing device, a display, a voicerecognition module, etc., one or more devices that enable a user tointeract with computer system/server 702, and/or any devices (e.g.,network card, modem, etc.) that enable computer system/server 702 tocommunicate with one or more other computing devices. Such communicationcan occur via I/O interfaces of the device 712. Still yet, computersystem/server 702 can communicate with one or more networks such as alocal area network (LAN), a general wide area network (WAN), and/or apublic network (e.g., the Internet) via a network adapter. As depicted,device 712 communicates with the other components of computersystem/server 702 via a bus. It should be understood that although notshown, other hardware and/or software components could be used inconjunction with computer system/server 702. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Although an exemplary embodiment of at least one of a system, method,and non-transitory computer readable medium has been illustrated in theaccompanied drawings and described in the foregoing detaileddescription, it will be understood that the application is not limitedto the embodiments disclosed, but is capable of numerous rearrangements,modifications, and substitutions as set forth and defined by thefollowing claims. For example, the capabilities of the system of thevarious figures can be performed by one or more of the modules orcomponents described herein or in a distributed architecture and mayinclude a transmitter, receiver or pair of both. For example, all orpart of the functionality performed by the individual modules, may beperformed by one or more of these modules. Further, the functionalitydescribed herein may be performed at various times and in relation tovarious events, internal or external to the modules or components. Also,the information sent between various modules can be sent between themodules via at least one of: a data network, the Internet, a voicenetwork, an Internet Protocol network, a wireless device, a wired deviceand/or via plurality of protocols. Also, the messages sent or receivedby any of the modules may be sent or received directly and/or via one ormore of the other modules.

One skilled in the art will appreciate that a “system” could be embodiedas a personal computer, a server, a console, a personal digitalassistant (PDA), a cell phone, a tablet computing device, a smartphoneor any other suitable computing device, or combination of devices.Presenting the above-described functions as being performed by a“system” is not intended to limit the scope of the present applicationin any way but is intended to provide one example of many embodiments.Indeed, methods, systems and apparatuses disclosed herein may beimplemented in localized and distributed forms consistent with computingtechnology.

It should be noted that some of the system features described in thisspecification have been presented as modules, in order to moreparticularly emphasize their implementation independence. For example, amodule may be implemented as a hardware circuit comprising custom verylarge-scale integration (VLSI) circuits or gate arrays, off-the-shelfsemiconductors such as logic chips, transistors, or other discretecomponents. A module may also be implemented in programmable hardwaredevices such as field programmable gate arrays, programmable arraylogic, programmable logic devices, graphics processing units, or thelike.

A module may also be at least partially implemented in software forexecution by various types of processors. An identified unit ofexecutable code may, for instance, comprise one or more physical orlogical blocks of computer instructions that may, for instance, beorganized as an object, procedure, or function. Nevertheless, theexecutables of an identified module need not be physically locatedtogether but may comprise disparate instructions stored in differentlocations which, when joined logically together, comprise the module andachieve the stated purpose for the module. Further, modules may bestored on a computer-readable medium, which may be, for instance, a harddisk drive, flash device, random access memory (RAM), tape, or any othersuch medium used to store data.

Indeed, a module of executable code could be a single instruction, ormany instructions, and may even be distributed over several differentcode segments, among different programs, and across several memorydevices. Similarly, operational data may be identified and illustratedherein within modules and may be embodied in any suitable form andorganized within any suitable type of data structure. The operationaldata may be collected as a single data set or may be distributed overdifferent locations including over different storage devices, and mayexist, at least partially, merely as electronic signals on a system ornetwork.

It will be readily understood that the components of the application, asgenerally described and illustrated in the figures herein, may bearranged and designed in a wide variety of different configurations.Thus, the detailed description of the embodiments is not intended tolimit the scope of the application as claimed but is merelyrepresentative of selected embodiments of the application.

One having ordinary skill in the art will readily understand that theabove may be practiced with steps in a different order, and/or withhardware elements in configurations that are different than those whichare disclosed. Therefore, although the application has been describedbased upon these preferred embodiments, it would be apparent to those ofskill in the art that certain modifications, variations, and alternativeconstructions would be apparent.

While preferred embodiments of the present application have beendescribed, it is to be understood that the embodiments described areillustrative only and the scope of the application is to be definedsolely by the appended claims when considered with a full range ofequivalents and modifications (e.g., protocols, hardware devices,software platforms etc.) thereto.

What is claimed is:
 1. A method, comprising: determining, by atransport; a current use of the transport; determining, by thetransport, a feature based on the current use, wherein the feature wasnot available for use by the transport; receiving, by the transport,data related to the feature; and enabling, by the transport, the featurebased on the received data; wherein the determination of the feature isbased on a capability of the transport to perform the feature utilizingequipment not intended for performing the feature.
 2. The method ofclaim 1, wherein the enabling feature is based on converting thereceived data into a format capable to be processed and output byequipment in the transport.
 3. The method of claim 1, wherein theenabling the feature is based on current activities of a driver andpresenting the feature in a manner complementary to the currentactivities.
 4. The method of claim 1, wherein determining the currentuse of the transport comprises: determining one of a driver operatingthe transport and the transport being autonomously operated; determininga current location of the transport; determining a current condition inproximity to the transport; and determining current feature useaccording to the one of the driver operating the transport and thetransport being autonomously operated, the location of the transport,and the current condition.
 5. The method of claim 1, wherein receivingdata related to the feature comprises: transmitting, by the transport, arequest to a server to provide the feature; and receiving, by thetransport, the data from the server, the data based on the feature. 6.The method of claim 1, wherein enabling the feature based on thereceived data comprises: selecting one of a plurality of terms to usethe feature in the data; receiving an indication the feature is enabled;and presenting the indication to one or more occupants of the transport.7. A transport, comprising: a processor; and a memory, coupled to theprocessor, comprising instructions that when executed by the processorare configured to: determine a current use of the transport; determine afeature based on the current use, wherein the feature was not availablefor use by the transport; receive data related to the feature; andenable the feature based on the received data; wherein the transportdetermines the feature is based on a capability of the transport toperform the feature that uses equipment not intended to perform thefeature.
 8. The transport of claim 7, wherein the transport enables thefeature is based on the transport converts the received data into aformat capable to be processed and output by equipment in the transport.9. The transport of claim 7, wherein the transport enables the featureis based on current activities of a driver and the transport presentsthe feature in a manner complementary to the current activities.
 10. Thetransport of claim 7, wherein the transport determines the current useof the transport comprises the transport configured to: determine one ofa driver operates the transport and the transport is autonomouslyoperated; determine a current location of the transport; determine acurrent condition in proximity to the transport; and determine a use ofthe current feature that corresponds to the one of the driver operatesthe transport and the transport is autonomously operated, the locationof the transport, and the current condition.
 11. The transport of claim7, wherein the transport receives data related to the feature comprisesthe transport configured to: transmit a request to a server to providethe feature; and receive the data from the server, the data based on thefeature.
 12. The transport of claim 7, wherein the transport enables thefeature based on the received data comprises the transport configuredto: select one of a plurality of terms to use the feature in the data;receive an indication the feature is enabled; and present the indicationto one or more occupants of the transport.
 13. A non-transitory computerreadable medium comprising instructions, that when read by a processor,cause the processor to perform: determining, by a transport, a currentuse of the transport; determining, by the transport, a feature based onthe current use, wherein the feature was not available for use by thetransport; receiving, by the transport, data related to the feature; andenabling, by the transport, the feature based on the received data;wherein the determination of the feature is based on a capability of thetransport to perform the feature utilizing equipment not intended forperforming the feature.
 14. The non-transitory computer readable mediumof claim 13, wherein the enabling the feature is based on currentactivities of a driver and presenting the feature in a mannercomplementary to the current activities.
 15. The non-transitory computerreadable medium of claim 13, wherein the enabling the feature is basedon converting the received data into a format capable to be processedand output by equipment in the transport.
 16. The non-transitorycomputer readable medium of claim 13, wherein determining the currentuse of the transport comprises: determining one of a driver operatingthe transport and the transport being autonomously operated; determininga current location of the transport; determining a current condition inproximity to the transport; and determining current feature useaccording to the one of the driver operating the transport and thetransport being autonomously operated, the location of the transport,and the current condition.
 17. The non-transitory computer readablemedium of claim 13, wherein receiving data related to the featurecomprises: transmitting, by the transport, a request to a server toprovide the feature; and receiving, by the transport, the data from theserver, the data based on the feature.
 18. The non-transitory computerreadable medium of claim 13, wherein enabling the feature based on thereceived data comprises: selecting one of a plurality of terms to usethe feature in the data; receiving an indication the feature is enabled;and presenting the indication to one or more occupants of the transport.